Large Scale Networks (COMP5313)

UNIT OF STUDY

The growing connectedness of modern society translates into simplifying global communication and accelerating spread of news, information and epidemics. The focus of this unit is on the key concepts to address the challenges induced by the recent scale shift of complex networks. In particular, the course will present how scalable solutions exploiting graph theory, sociology, game theory and probability tackle the problems of communicating (routing, diffusing, aggregating) in dynamic and social networks.

Further unit of study information

Classes

Lecture 2 hrs/week; Tutorial 1 hr/week.

Assessment

Through semester assessment (60%) Final Exam (40%)

Faculty/department permission required?

Yes

Unit of study rules

Prerequisites and assumed knowledge

Assumed knowledge: Algorithmic skills (as expected from any IT graduate). Basic probability knowledge.

Assumed knowledge: Algorithmic skills (as expected from any IT graduate). Basic probability knowledge.

Study this unit outside a degree

Non-award/non-degree study

If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.

Cross-institutional study

If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.